import numpy as np
import pandas as pd
import folium as fo
%matplotlib inline

map = fo.Map()
map

Make this Notebook Trusted to load map: File -> Trust Notebook

volcano = pd.read_csv('C:\\Users\\hp\\Desktop\\Programming Software\\Programs\\Python Notes\\239.volcano.csv')
lat_vo = list(volcano['Latitude'])
lon_vo = list(volcano['Longitude'])
name_vo = list(volcano['Name'])

volcano.head()

	Year	Month	Day	TSU	EQ	Name	Location	Country	Latitude	Longitude	...	TOTAL_DEATHS	TOTAL_DEATHS_DESCRIPTION	TOTAL_MISSING	TOTAL_MISSING_DESCRIPTION	TOTAL_INJURIES	TOTAL_INJURIES_DESCRIPTION	TOTAL_DAMAGE_MILLIONS_DOLLARS	TOTAL_DAMAGE_DESCRIPTION	TOTAL_HOUSES_DESTROYED	TOTAL_HOUSES_DESTROYED_DESCRIPTION
0	2010	1	NaN	NaN	NaN	Tungurahua	Ecuador	Ecuador	-1.467	-78.442	...	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	NaN
1	2010	3	31.0	NaN	NaN	Eyjafjallajokull	Iceland-S	Iceland	63.630	-19.620	...	2.0	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	2010	5	27.0	NaN	NaN	Pacaya	Guatemala	Guatemala	14.381	-90.601	...	1.0	1.0	3.0	1.0	NaN	NaN	NaN	1.0	3.0	1.0
3	2010	5	29.0	TSU	EQ	Sarigan	Mariana Is-C Pacific	United States	16.708	145.780	...	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	2010	8	6.0	NaN	NaN	Karangetang [Api Siau]	Sangihe Is-Indonesia	Indonesia	2.780	125.480	...	4.0	1.0	NaN	NaN	5.0	1.0	NaN	NaN	NaN	1.0

5 rows × 36 columns

vol = fo.FeatureGroup(name='My Map')
for lat,lon,name in zip(lat_vo,lon_vo,name_vo):
    vol.add_child(fo.Marker(location=[lat,lon],popup=name,icon=fo.Icon(color='red')))
map.add_child(vol)

Make this Notebook Trusted to load map: File -> Trust Notebook

vol.add_child(fo.GeoJson(data=(open('C:\\Users\\hp\\Desktop\\Programming Software\\Programs\\Python Notes\\240.world.json','r',encoding='utf-8-sig').read())))
map.add_child(vol)

Make this Notebook Trusted to load map: File -> Trust Notebook